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Program Description
Information Systems (IS) is a multidisciplinary field that is growing in importance as the information technology revolution transforms the scale of data, the nature of products, the organization of work, and the way people interact. The Stern IS department has played an active leadership role in defining the fields of data science and business analytics, engaging in cross-disciplinary scholarship in computer science, economics, machine learning, marketing, management science and urban science. PhD students at Stern have the advantage of working with IS faculty who also maintain close research ties with the digital, banking, advertising and media industries, which gives our students access to unique “big data” for research as well as opportunities for experiential learning.
Admissions
All applicants to the NYU Stern School of Business PhD Program are required to submit a complete application for admission. A complete application includes the online application, statement of purpose, optional essay, educational history and resume or CV, letters of recommendation, test scores, academic transcripts, and an application fee.
See How to Apply for admission requirements and instructions specific to this program.
Program Requirements
The program requires the completion of at least 36-54 credits, and students may choose from one of three specializations as noted below.
Course List
| Course |
Title |
Credits |
| ECON-GB 3351 | Econometrics I | 3 |
| INTA-GB 4388 | Behavioral Research Methods | 3 |
| ECON-GB 3335 | Microeconomics: Theory and Applications | 3 |
| TECH-GB 3345 | Doctoral Seminar in Digital Economics | 3 |
| TECH-GB 3382 | Research Seminar on IT and Organizations: Social Perspectives | 3 |
| TECH-GB 3391 | Research Seminar: Data Science | 3 |
| TECH-GB 3386 | Technical Foundations of Information Systems | 3 |
| TECH-GB 4101 | | 1 |
| TECH-GB 4102 | | 1 |
| TECH-GB 4103 | | 1 |
| TECH-GB 4104 | | 1 |
| TECH-GB 4105 | | 1 |
| TECH-GB 4150 | | 1 |
| 9-13 |
| |
| |
| |
| 0-14 |
| Total Credits | 36-54 |
Curriculum Details
Although every doctoral student must satisfy general requirements, each student designs and completes an individual program of study.
Each new doctoral student begins a program of study, which requires approval from the Area Coordinator and the Doctoral Office. Any unusual features or revisions of an approved program of study requires permission from both the department Area Coordinator and the Doctoral Office. Unless specifically approved in advance by the Area Coordinator and the Doctoral Office, MBA courses will not be eligible for tuition remission.
The general PhD degree requirement for students entering the program with a Master’s degree or equivalent is to successfully complete a minimum of 36 credits. The requirement for students entering the program with only a Bachelor’s degree is to successfully complete a minimum of 54 credits. If the Doctoral Office and the department Area Coordinator approve, a program of study may include previous graduate work at NYU or other universities. In all cases, students must complete at least 33 credits of coursework at NYU.
An approved program of study becomes part of the student’s permanent academic file and represents a formal commitment by both the student and the school. Any approved program can be modified as appropriate.
A complete program of study must include:
- Prerequisites: Every student must satisfy the prerequisites in calculus, linear algebra, basic probability and statistics, and economics before starting doctoral study. This can be accomplished by taking courses in these subjects for a grade.
- Basic Research Skills Methodology Courses: Every student must complete four research methodology courses, including three courses in probability and statistics, and one course in microeconomics.
- Major Specialization & Elective Courses: Every student must complete the prescribed program of courses in their major specialization, as well as elective courses.
Specialization Requirements
Economics
Course List
| Course |
Title |
Credits |
| APSTA-GE 2012 | Causal Inference | 3 |
| DS-GA 1011 | Natural Language Processing with Representation Learning | 3 |
| ECON-GB 3360 | Topics in Economics: Industrial Organization | 3 |
| PHDC-GB 8683 | | 3 |
| MKTG-GB 4392 | Quantitative Applications in Marketing II | 3 |
| MKTG-GB 4394 | Advanced Empirical Methods | 3 |
Technical
Behavioral
Additional Program Requirements
Program of Study
Successfully complete a program of study, including completion of prerequisite coursework, basic research skills methodology courses, and major field of study and elective courses.
Comprehensive Examination
Successfully pass the comprehensive examination(s) required in the student’s area of study.
Teaching Workshop
Attend the Teaching Workshop and receive certification to teach an undergraduate course.
Teaching Preparations
Successful completion of the teaching practica as described in the PhD Handbook.
Teach an Undergraduate Course
Teach one undergraduate course or the equivalent during the 4th year of study.
Dissertation Proposal
Initiate a major piece of original research and present it for faculty approval.
Dissertation Defense
Complete a satisfactory dissertation and defend it successfully at the defense presentation. The research is the extension and completion of the research presented at the dissertation proposal.
Learning Outcomes
Upon successful completion of the program, graduates will:
- Acquire a broad working knowledge of their field of study.
- Acquire advanced knowledge in a specific field of research.
- Conduct independent research.
- Be skilled presenters of academic research.
- Be skilled teachers.
Policies
NYU Policies
University-wide policies can be found on the New York University Policy pages.
Stern Policies
Additional academic policies can be found on the Stern Graduate Academic Policies page.